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1 parent 345ea98 commit 90820b19e7c347c90e00db61217f27e50e00b41b @david-gpu committed on GitHub Aug 30, 2016
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@@ -24,13 +24,13 @@ Finally, the generator network relies on ResNet modules as we've found them to t
You will need Python 3 with Tensorflow, numpy, scipy and [moviepy](http://zulko.github.io/moviepy/). See `requirements.txt` for details.
-# How to obtain the dataset
+## Dataset
-After you have the required software above you will also need the `Large-scale CelebFaces Attributes (CelebA) Dataset` in order to train the model. The model expects the `Align&Cropped Images` version. Extract all images to a subfolder named `dataset`. I.e. `srez/dataset/lotsoffiles.jpg`.
+After you have the required software above you will also need the `Large-scale CelebFaces Attributes (CelebA) Dataset`. The model expects the `Align&Cropped Images` version. Extract all images to a subfolder named `dataset`. I.e. `srez/dataset/lotsoffiles.jpg`.
# Training the model
-Training the network with default settings: `python3 srez_main.py --run train`. The script will periodically output an example batch in PNG format onto the `srez/train` folder, and checkpoint data will be stored in the `srez/checkpoint` folder.
+Training with default settings: `python3 srez_main.py --run train`. The script will periodically output an example batch in PNG format onto the `srez/train` folder, and checkpoint data will be stored in the `srez/checkpoint` folder.
After the network has trained you can also produce an animation showing the evolution of the output by running `python3 srez_main.py --run demo`.

2 comments on commit 90820b1

@parabird

use 'pip install tensorflow',the system show:'No matching distribution found for tensorflow'. so, how i can get the tensorflow?

thanks in advance

@Vgandhi9

@parabird you can't install tensorflow directly as such using pip install tensroflow you first need to add the binary file export TF_BINARY_URL = https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl and then you can try pip install --upgrade TF_BINARY_URL

The above example if for Ubuntu/Linux 64-bit, CPU only, Python 2.7 system.

You can find more help over here.

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